Amy Krystosik is an epidemiologist and data scientist with nine years of experience who transitioned from arboviral field research to founding and leading a rare disease nonprofit in Palo Alto. She blends hands-on infectious disease fieldwork—from mosquito ecology and large-scale case surveillance in Latin America—to applied data science at the Chan Zuckerberg Initiative and Insight Data Science, including satellite image classification using deep learning. Amy’s work spans lab, field, and cloud: she has designed climate-sensor platforms, produced geospatial risk maps to guide vector control, and analyzed global health data to inform policy and interventions. A Stanford postdoc and PhD-trained public health researcher, she brings rare-disease entrepreneurship together with technical fluency in epidemiology, machine learning, and geospatial methods. Notably, her career demonstrates a consistent ability to translate granular local data collection into scalable analytical insights that drive public health action.
9 years of coding experience
10 years of employment as a software developer
B.S Biochemistry, B.S Biochemistry at John Carroll University
Post Doc Epidemiology, Post Doc Epidemiology at Stanford University School of Medicine
MPH International Health and Development, MPH International Health and Development at Tulane University Celia Scott Weatherhead School of Public Health and Tropical Medicine
Walsh Jesuit
Doctor of Philosophy (Ph.D.) Public Health Epidemiology, Doctor of Philosophy (Ph.D.) Public Health Epidemiology at Kent State University
Contributions:26 pushes, 1 branch in 1 year 1 month
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